Style Transfer Copy, From Closed Model to Open Model: Behavioral Distillation
A user on Reddit proposed an experimental method for transferring image style transfer capabilities from a closed-source model, like GPT, to an open-source model, such as Stable Diffusion's Flux LoRA. The technique, termed "behavioral distillation," involves generating initial image pairs from the closed model, training the open model on these pairs, evaluating its performance, and then using the closed model to generate targeted counter-examples for iterative retraining. This approach aims to teach the open model to mimic the transformation behavior of the closed model rather than just its visual style. AI
IMPACT Explores a novel method for transferring AI capabilities between models, potentially enabling open-source models to gain advanced functionalities.